Li-Zhi Liao

Orcid: 0000-0002-0588-7953

According to our database1, Li-Zhi Liao authored at least 51 papers between 1993 and 2024.

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Bibliography

2024
Convergence of a Fast Hierarchical Alternating Least Squares Algorithm for Nonnegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng., January, 2024

2023
A Progressive Hierarchical Alternating Least Squares Method for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

2022
An Interior Point Parameterized Central Path Following Algorithm for Linearly Constrained Convex Programming.
J. Sci. Comput., 2022

2020
A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming.
Math. Program., 2020

2018
The Convergent Generalized Central Paths for Linearly Constrained Convex Programming.
SIAM J. Optim., 2018

Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality.
Neural Comput., 2018

Quadratic two-stage stochastic optimization with coherent measures of risk.
Math. Program., 2018

Multiple graphs clustering by gradient flow method.
J. Frankl. Inst., 2018

Generalized Affine Scaling Trajectory Analysis for Linearly Constrained Convex Programming.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017
A Novel Neural Network for Generally Constrained Variational Inequalities.
IEEE Trans. Neural Networks Learn. Syst., 2017

Nonconvex and Nonsmooth Optimization with Generalized Orthogonality Constraints: An Approximate Augmented Lagrangian Method.
J. Sci. Comput., 2017

2016
Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data.
SIAM J. Sci. Comput., 2016

2015
Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
A note on the trace quotient problem.
Optim. Lett., 2014

A Study of the Dual Affine Scaling Continuous Trajectories for Linear Programming.
J. Optim. Theory Appl., 2014

2013
Sparse Canonical Correlation Analysis: New Formulation and Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Superlinear Convergence of a General Algorithm for the Generalized Foley-Sammon Discriminant Analysis.
J. Optim. Theory Appl., 2013

Inexact Alternating Direction Methods of Multipliers with Logarithmic-Quadratic Proximal Regularization.
J. Optim. Theory Appl., 2013

2012
Sparse Orthogonal Linear Discriminant Analysis.
SIAM J. Sci. Comput., 2012

Regularized orthogonal linear discriminant analysis.
Pattern Recognit., 2012

An alternating variable method for the maximal correlation problem.
J. Glob. Optim., 2012

Proximal-like contraction methods for monotone variational inequalities in a unified framework II: general methods and numerical experiments.
Comput. Optim. Appl., 2012

Proximal-like contraction methods for monotone variational inequalities in a unified framework I: Effective quadruplet and primary methods.
Comput. Optim. Appl., 2012

2011
Stability and Convergence Analysis for a Class of Neural Networks.
IEEE Trans. Neural Networks, 2011

On sparse linear discriminant analysis algorithm for high-dimensional data classification.
Numer. Linear Algebra Appl., 2011

Towards the global solution of the maximal correlation problem.
J. Glob. Optim., 2011

2010
A new one-layer neural network for linear and quadratic programming.
IEEE Trans. Neural Networks, 2010

Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis.
SIAM J. Matrix Anal. Appl., 2010

Steplengths in the extragradient type methods.
J. Comput. Appl. Math., 2010

Interior point based continuous methods for linear programming.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A New Projection-Based Neural Network for Constrained Variational Inequalities.
IEEE Trans. Neural Networks, 2009

2008
Projected Pseudotransient Continuation.
SIAM J. Numer. Anal., 2008

A modified descent method for co-coercive variational inequalities.
Eur. J. Oper. Res., 2008

2007
Convergence analysis of the Levenberg-Marquardt method.
Optim. Methods Softw., 2007

2006
A Novel Neural Network for a Class of Convex Quadratic Minimax Problems.
Neural Comput., 2006

2005
A novel neural network for variational inequalities with linear and nonlinear constraints.
IEEE Trans. Neural Networks, 2005

A Gradient-based Continuous Method for Large-scale Optimization Problems.
J. Glob. Optim., 2005

2004
A neural network for a class of convex quadratic minimax problems with constraints.
IEEE Trans. Neural Networks, 2004

On Restart Procedures for the Conjugate Gradient Method.
Numer. Algorithms, 2004

Neurodynamical Optimization.
J. Glob. Optim., 2004

2003
Self-adaptive operator splitting methods for monotone variational inequalities.
Numerische Mathematik, 2003

2002
A new inexact alternating directions method for monotone variational inequalities.
Math. Program., 2002

A Globally Convergent and Efficient Method for Unconstrained Discrete-Time Optimal Control.
J. Glob. Optim., 2002

Adaptive differential dynamic programming for multiobjective optimal control.
Autom., 2002

2001
Stability Analysis of Gradient-Based Neural Networks for Optimization Problems.
J. Glob. Optim., 2001

2000
Successive method for general multiple linear-quadratic control problem in discrete time.
IEEE Trans. Autom. Control., 2000

A Smoothing Newton Method for General Nonlinear Complementarity Problems.
Comput. Optim. Appl., 2000

1999
A Smoothing Newton Method for Extended Vertical Linear Complementarity Problems.
SIAM J. Matrix Anal. Appl., 1999

A Recurrent Neural Network for N-Stage Optimal Control Problems.
Neural Process. Lett., 1999

1993
Parallel Processing of Large Scale Discrete-Time Unconstrained Differential Dynamic Programming.
Parallel Comput., 1993

A Parallel Clustered Dynamic Programming Algorithm for Discrete Time Optimal Control Problems.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993


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